Validation of a Depression Screening Measure for Stroke Inpatients

Rybarczyk, Bruce; Winemiller, David; Lazarus, Lawrence W.; Haut, Allyson; Hartman, Carolyn

doi:10.1097/00019442-199621420-00005

Cited by 19 publications

(16 citation statements)

References 21 publications

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“…Across the 20 studies, the prevalence of depression ranged from 15% to 60%, with a median of 34%. [10][11][12][13][14][15][16][17][18][19][20][21][22][23][24][25][26][27][28][29] This finding may reflect different methods of screening or variation among diverse hospitalized populations. Many of the studies excluded patients with cognitive impairment or communication barriers.…”

Section: Resultsmentioning

confidence: 99%

“…Five studies examined instruments that were self-administered by patients [10][11][12][13][14] ; 9 studies assessed instruments administered by nurses, physicians, or research staff members without formal psychiatric training [15][16][17][18][19][20][21][22][23] ; and 6 studies evaluated instruments administered by mental health professionals. [24][25][26][27][28][29] Four studies compared different instruments that were administered in the same manner (eg, both self-administered by patients). [12][13][14]22 In the remaining studies, both instruments and methods of administration differed between the index and reference conditions.…”

Section: Depression Screening Toolsmentioning

confidence: 99%

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Screening for Depression in Hospitalized Medical Patients

IsHak

Collison

Danovitch

et al. 2017

Journal of Hospital Medicine

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Depression among hospitalized patients is often unrecognized, undiagnosed, and therefore untreated. Little is known about the feasibility of screening for depression during hospitalization, or whether depression is associated with poorer outcomes, longer hospital stays, and higher readmission rates. We searched PubMed and PsycINFO for published, peer-reviewed articles in English (1990English ( -2016 using search terms designed to capture studies that tested the performance of depression screening tools in inpatient settings and studies that examined associations between depression detected during hospitalization and clinical or utilization outcomes. Two investigators reviewed each full-text article and extracted data. The prevalence of depression ranged from 5% to 60%, with a median of 33%, among hospitalized patients. Several screening tools identified showed high sensitivity and specificity, even when self-administered by patients or when abbreviated versions were administered by individuals without formal training. With regard to outcomes, studies from several individual hospitals found depression to be associated with poorer functional outcomes, worse physical health, and returns to the hospital after discharge. These findings suggest that depression screening may be feasible in the inpatient setting, and that more research is warranted to determine whether screening for and treating depression during hospitalization can improve patient outcomes.

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Section: Resultsmentioning

confidence: 99%

Section: Depression Screening Toolsmentioning

confidence: 99%

Screening for Depression in Hospitalized Medical Patients

IsHak

Collison

Danovitch

et al. 2017

Journal of Hospital Medicine

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“…Independent 53 (79.1) B. Independent in all but one 8 (11.9) C. Independent in all but bathing, and an additional one 2 (2.9) D. Independent in all but bathing, dressing, and an additional one 4 (5.9) or 26 or 27 [33]. Using a cut-off point of 16 for the CES-D may have overestimated the prevalence of depression in the Korean population.…”

Section: Discussionmentioning

confidence: 99%

Influence of mastery and sexual frequency on depression in Korean men after a stroke

Kim

2008

Journal of Psychosomatic Research

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“…The suggested clinical threshold score as designated by the test manual or original journal article was used to identify patients meeting criteria for depression. Therefore, for the GDS-15 a score of !5 was used (Sheikh & Yesavage, 1986), for the CES-D a score of !16; for the SIDI a score of !17 (Rybarczyk et al, 1996), and for the HRSD a score of !7 (Hamilton, 1960). The SCID-CV was administered by a trained doctoral-level provider who was blind to participant responses on the depression measures.…”

Section: Methodsmentioning

confidence: 99%

Comparison of assessment measures for post-stroke depression

Roger

Johnson-Greene

2009

The Clinical Neuropsychologist

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Depression is commonplace following stroke and is associated with increased morbidity and mortality. The objective of this study is to examine the sensitivity and specificity of four standardized measures for assessing depression in a stroke population. A total of 67 adults admitted to an inpatient rehabilitation unit with acute stroke were assessed with four standardized depression measures and by structured clinical interview as part of a cross-sectional study assessing cognitive and emotional functioning. Using DSM-IV criteria, major depression was present in 15% of the sample and minor depression in an additional 28%. The four depression measures yielded rates of depression ranging from 14% to 46% when their recommended clinical threshold scores were applied. The Center for Epidemiologic Studies Depression Scale (CES-D) had the greatest positive predictive value (PPV) at 28%. Cutoff scores were adjusted using receiver operating curve (ROC) analyses, and PPV ranged from 28% to 34% when using lower cutoff scores, representing an improvement for all measures. Common assessment measures yield significantly different classification rates for depression in persons with acute stroke. Traditional threshold scores for commonly used objective depression measures may not be optimally sensitive for detection of depression in stroke populations. Based on the findings of this study we recommend clinicians use the Geriatric Depression Scale-Short Form using a cutoff score of 3 or greater. Clinical and research implications are offered.

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Validation of a Depression Screening Measure for Stroke Inpatients

Cited by 19 publications

References 21 publications

Screening for Depression in Hospitalized Medical Patients

Screening for Depression in Hospitalized Medical Patients

Influence of mastery and sexual frequency on depression in Korean men after a stroke

Comparison of assessment measures for post-stroke depression

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